中文说明：贝叶斯分类器的分类原理是通过某对象的先验概率，利用贝叶斯公式计算出其后验概率，即该对象属于某一类的概率，选择具有最大后验概率的类作为该对
English Description：
Bayesian classifiers for classification is done by the prior probability of an object, by using Bayesian formula to calculate probability, the probability that the object belongs to a class of, select the class with maximum a posteriori probability as the class to which the object belongs. In other words, Bayesian classifiers are the smallest error rate sense of optimization. Studied are mainly four types of Bayesian classifiers, namely: Naive Bayes, and TAN, and BAN and GBN.